Pandas Profiling Report

Dataset statistics

Number of variables	17
Number of observations	3306
Missing cells	6176
Missing cells (%)	11.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	439.2 KiB
Average record size in memory	136.0 B

Variable types

Categorical	5
Numeric	12

Alerts

`year_dt` has constant value "1970"	Constant
`Country Name` has a high cardinality: 174 distinct values	High cardinality
`Country Code` has a high cardinality: 174 distinct values	High cardinality
`Life Expectancy World Bank` is highly overall correlated with `Prevelance of Undernourishment` and 4 other fields	High correlation
`Prevelance of Undernourishment` is highly overall correlated with `Life Expectancy World Bank` and 3 other fields	High correlation
`CO2` is highly overall correlated with `Life Expectancy World Bank` and 3 other fields	High correlation
`Sanitation` is highly overall correlated with `Life Expectancy World Bank` and 2 other fields	High correlation
`Injuries` is highly overall correlated with `CO2` and 2 other fields	High correlation
`Communicable` is highly overall correlated with `Life Expectancy World Bank` and 3 other fields	High correlation
`NonCommunicable` is highly overall correlated with `CO2` and 2 other fields	High correlation
`Region` is highly overall correlated with `IncomeGroup`	High correlation
`IncomeGroup` is highly overall correlated with `Life Expectancy World Bank` and 2 other fields	High correlation
`Life Expectancy World Bank` has 188 (5.7%) missing values	Missing
`Prevelance of Undernourishment` has 684 (20.7%) missing values	Missing
`CO2` has 152 (4.6%) missing values	Missing
`Health Expenditure %` has 180 (5.4%) missing values	Missing
`Education Expenditure %` has 1090 (33.0%) missing values	Missing
`Unemployment` has 304 (9.2%) missing values	Missing
`Corruption` has 2331 (70.5%) missing values	Missing
`Sanitation` has 1247 (37.7%) missing values	Missing
`Country Name` is uniformly distributed	Uniform
`Country Code` is uniformly distributed	Uniform
`Injuries` has unique values	Unique
`Communicable` has unique values	Unique
`NonCommunicable` has unique values	Unique

Reproduction

Analysis started	2023-10-02 23:52:20.094386
Analysis finished	2023-10-02 23:52:35.545480
Duration	15.45 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

Country Name
Categorical

HIGH CARDINALITY UNIFORM

Distinct	174
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

Afghanistan	19
Nepal	19
Malawi	19
Malaysia	19
Namibia	19
Other values (169)	3211

Length

Max length	24
Median length	21
Mean length	8.3275862
Min length	4

Characters and Unicode

Total characters	27531
Distinct characters	52
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Afghanistan
2nd row	Angola
3rd row	Albania
4th row	Andorra
5th row	United_Arab_Emirates

Common Values

Value	Count	Frequency (%)
Afghanistan	19	0.6%
Nepal	19	0.6%
Malawi	19	0.6%
Malaysia	19	0.6%
Namibia	19	0.6%
Niger	19	0.6%
Nigeria	19	0.6%
Nicaragua	19	0.6%
Netherlands	19	0.6%
Norway	19	0.6%
Other values (164)	3116	94.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
afghanistan	19	0.6%
australia	19	0.6%
austria	19	0.6%
albania	19	0.6%
andorra	19	0.6%
united_arab_emirates	19	0.6%
argentina	19	0.6%
armenia	19	0.6%
american_samoa	19	0.6%
antigua_and_barbuda	19	0.6%
Other values (164)	3116	94.3%

Most occurring characters

Value	Count	Frequency (%)
a	4503	16.4%
i	2432	8.8%
n	2242	8.1%
e	1729	6.3%
r	1634	5.9%
o	1501	5.5%
u	1140	4.1%
l	1026	3.7%
t	969	3.5%
d	931	3.4%
Other values (42)	9424	34.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	22838	83.0%
Uppercase Letter	3952	14.4%
Connector Punctuation	703	2.6%
Other Punctuation	19	0.1%
Dash Punctuation	19	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	4503	19.7%
i	2432	10.6%
n	2242	9.8%
e	1729	7.6%
r	1634	7.2%
o	1501	6.6%
u	1140	5.0%
l	1026	4.5%
t	969	4.2%
d	931	4.1%
Other values (16)	4731	20.7%

Uppercase Letter

Value	Count	Frequency (%)
S	456	11.5%
M	380	9.6%
B	342	8.7%
A	304	7.7%
G	266	6.7%
C	266	6.7%
N	228	5.8%
T	209	5.3%
I	209	5.3%
P	209	5.3%
Other values (13)	1083	27.4%

Connector Punctuation

Value	Count	Frequency (%)
_	703	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	19	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26790	97.3%
Common	741	2.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	4503	16.8%
i	2432	9.1%
n	2242	8.4%
e	1729	6.5%
r	1634	6.1%
o	1501	5.6%
u	1140	4.3%
l	1026	3.8%
t	969	3.6%
d	931	3.5%
Other values (39)	8683	32.4%

Common

Value	Count	Frequency (%)
_	703	94.9%
'	19	2.6%
-	19	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	27531	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	4503	16.4%
i	2432	8.8%
n	2242	8.1%
e	1729	6.3%
r	1634	5.9%
o	1501	5.5%
u	1140	4.1%
l	1026	3.7%
t	969	3.5%
d	931	3.4%
Other values (42)	9424	34.2%

Country Code
Categorical

HIGH CARDINALITY UNIFORM

Distinct	174
Distinct (%)	5.3%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

AFG	19
NPL	19
MWI	19
MYS	19
NAM	19
Other values (169)	3211

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	9918
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	AFG
2nd row	AGO
3rd row	ALB
4th row	AND
5th row	ARE

Common Values

Value	Count	Frequency (%)
AFG	19	0.6%
NPL	19	0.6%
MWI	19	0.6%
MYS	19	0.6%
NAM	19	0.6%
NER	19	0.6%
NGA	19	0.6%
NIC	19	0.6%
NLD	19	0.6%
NOR	19	0.6%
Other values (164)	3116	94.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
afg	19	0.6%
aus	19	0.6%
aut	19	0.6%
alb	19	0.6%
and	19	0.6%
are	19	0.6%
arg	19	0.6%
arm	19	0.6%
asm	19	0.6%
atg	19	0.6%
Other values (164)	3116	94.3%

Most occurring characters

Value	Count	Frequency (%)
A	779	7.9%
R	760	7.7%
M	741	7.5%
N	722	7.3%
L	570	5.7%
B	551	5.6%
S	551	5.6%
T	513	5.2%
G	494	5.0%
U	456	4.6%
Other values (16)	3781	38.1%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	9918	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	779	7.9%
R	760	7.7%
M	741	7.5%
N	722	7.3%
L	570	5.7%
B	551	5.6%
S	551	5.6%
T	513	5.2%
G	494	5.0%
U	456	4.6%
Other values (16)	3781	38.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	9918	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	779	7.9%
R	760	7.7%
M	741	7.5%
N	722	7.3%
L	570	5.7%
B	551	5.6%
S	551	5.6%
T	513	5.2%
G	494	5.0%
U	456	4.6%
Other values (16)	3781	38.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9918	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	779	7.9%
R	760	7.7%
M	741	7.5%
N	722	7.3%
L	570	5.7%
B	551	5.6%
S	551	5.6%
T	513	5.2%
G	494	5.0%
U	456	4.6%
Other values (16)	3781	38.1%

Region
Categorical

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

Europe_&_Central_Asia	893
Sub-Saharan_Africa	836
Latin_America_&_Caribbean	551
East_Asia_&_Pacific	513
Middle_East_&_North_Africa	304
Other values (2)	209

Length

Max length	26
Median length	25
Mean length	20.413793
Min length	10

Characters and Unicode

Total characters	67488
Distinct characters	28
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South_Asia
2nd row	Sub-Saharan_Africa
3rd row	Europe_&_Central_Asia
4th row	Europe_&_Central_Asia
5th row	Middle_East_&_North_Africa

Common Values

Value	Count	Frequency (%)
Europe_&_Central_Asia	893	27.0%
Sub-Saharan_Africa	836	25.3%
Latin_America_&_Caribbean	551	16.7%
East_Asia_&_Pacific	513	15.5%
Middle_East_&_North_Africa	304	9.2%
South_Asia	152	4.6%
North_America	57	1.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
europe_&_central_asia	893	27.0%
sub-saharan_africa	836	25.3%
latin_america_&_caribbean	551	16.7%
east_asia_&_pacific	513	15.5%
middle_east_&_north_africa	304	9.2%
south_asia	152	4.6%
north_america	57	1.7%

Most occurring characters

Value	Count	Frequency (%)
a	9690	14.4%
_	8132	12.0%
i	5738	8.5%
r	5282	7.8%
A	3306	4.9%
e	3249	4.8%
n	2831	4.2%
c	2774	4.1%
t	2774	4.1%
s	2375	3.5%
Other values (18)	21337	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	46246	68.5%
Uppercase Letter	10013	14.8%
Connector Punctuation	8132	12.0%
Other Punctuation	2261	3.4%
Dash Punctuation	836	1.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	9690	21.0%
i	5738	12.4%
r	5282	11.4%
e	3249	7.0%
n	2831	6.1%
c	2774	6.0%
t	2774	6.0%
s	2375	5.1%
b	1938	4.2%
u	1881	4.1%
Other values (7)	7714	16.7%

Uppercase Letter

Value	Count	Frequency (%)
A	3306	33.0%
S	1824	18.2%
E	1710	17.1%
C	1444	14.4%
L	551	5.5%
P	513	5.1%
N	361	3.6%
M	304	3.0%

Connector Punctuation

Value	Count	Frequency (%)
_	8132	100.0%

Other Punctuation

Value	Count	Frequency (%)
&	2261	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	836	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	56259	83.4%
Common	11229	16.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	9690	17.2%
i	5738	10.2%
r	5282	9.4%
A	3306	5.9%
e	3249	5.8%
n	2831	5.0%
c	2774	4.9%
t	2774	4.9%
s	2375	4.2%
b	1938	3.4%
Other values (15)	16302	29.0%

Common

Value	Count	Frequency (%)
_	8132	72.4%
&	2261	20.1%
-	836	7.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	67488	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	9690	14.4%
_	8132	12.0%
i	5738	8.5%
r	5282	7.8%
A	3306	4.9%
e	3249	4.8%
n	2831	4.2%
c	2774	4.1%
t	2774	4.1%
s	2375	3.5%
Other values (18)	21337	31.6%

IncomeGroup
Categorical

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

High_income	1083
Upper_middle_income	931
Lower_middle_income	855
Low_income	437

Length

Max length	19
Median length	19
Mean length	15.189655
Min length	10

Characters and Unicode

Total characters	50217
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low_income
2nd row	Lower_middle_income
3rd row	Upper_middle_income
4th row	High_income
5th row	High_income

Common Values

Value	Count	Frequency (%)
High_income	1083	32.8%
Upper_middle_income	931	28.2%
Lower_middle_income	855	25.9%
Low_income	437	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
high_income	1083	32.8%
upper_middle_income	931	28.2%
lower_middle_income	855	25.9%
low_income	437	13.2%

Most occurring characters

Value	Count	Frequency (%)
e	6878	13.7%
i	6175	12.3%
m	5092	10.1%
_	5092	10.1%
o	4598	9.2%
d	3572	7.1%
n	3306	6.6%
c	3306	6.6%
p	1862	3.7%
r	1786	3.6%
Other values (7)	8550	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	41819	83.3%
Connector Punctuation	5092	10.1%
Uppercase Letter	3306	6.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	6878	16.4%
i	6175	14.8%
m	5092	12.2%
o	4598	11.0%
d	3572	8.5%
n	3306	7.9%
c	3306	7.9%
p	1862	4.5%
r	1786	4.3%
l	1786	4.3%
Other values (3)	3458	8.3%

Uppercase Letter

Value	Count	Frequency (%)
L	1292	39.1%
H	1083	32.8%
U	931	28.2%

Connector Punctuation

Value	Count	Frequency (%)
_	5092	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45125	89.9%
Common	5092	10.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	6878	15.2%
i	6175	13.7%
m	5092	11.3%
o	4598	10.2%
d	3572	7.9%
n	3306	7.3%
c	3306	7.3%
p	1862	4.1%
r	1786	4.0%
l	1786	4.0%
Other values (6)	6764	15.0%

Common

Value	Count	Frequency (%)
_	5092	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50217	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	6878	13.7%
i	6175	12.3%
m	5092	10.1%
_	5092	10.1%
o	4598	9.2%
d	3572	7.1%
n	3306	6.6%
c	3306	6.6%
p	1862	3.7%
r	1786	3.6%
Other values (7)	8550	17.0%

Year
Real number (ℝ)

Distinct	19
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2010

Minimum	2001
Maximum	2019
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	2001
5-th percentile	2001
Q1	2005
median	2010
Q3	2015
95-th percentile	2019
Maximum	2019
Range	18
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.4780541
Coefficient of variation (CV)	0.0027254001
Kurtosis	-1.2066765
Mean	2010
Median Absolute Deviation (MAD)	5
Skewness	0
Sum	6645060
Variance	30.009077
Monotonicity	Increasing

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
2001	174	5.3%
2011	174	5.3%
2018	174	5.3%
2017	174	5.3%
2016	174	5.3%
2015	174	5.3%
2014	174	5.3%
2013	174	5.3%
2012	174	5.3%
2010	174	5.3%
Other values (9)	1566	47.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2001	174	5.3%
2002	174	5.3%
2003	174	5.3%
2004	174	5.3%
2005	174	5.3%
2006	174	5.3%
2007	174	5.3%
2008	174	5.3%
2009	174	5.3%
2010	174	5.3%

Value	Count	Frequency (%)
2019	174	5.3%
2018	174	5.3%
2017	174	5.3%
2016	174	5.3%
2015	174	5.3%
2014	174	5.3%
2013	174	5.3%
2012	174	5.3%
2011	174	5.3%
2010	174	5.3%

Life Expectancy World Bank
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	2966
Distinct (%)	95.1%
Missing	188
Missing (%)	5.7%
Infinite	0
Infinite (%)	0.0%
Mean	69.748362

Minimum	40.369
Maximum	84.356341
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	40.369
5-th percentile	51.441
Q1	63.642
median	72.1685
Q3	76.809
95-th percentile	81.64922
Maximum	84.356341
Range	43.987341
Interquartile range (IQR)	13.167

Descriptive statistics

Standard deviation	9.4081541
Coefficient of variation (CV)	0.1348871
Kurtosis	-0.20295242
Mean	69.748362
Median Absolute Deviation (MAD)	5.9985
Skewness	-0.77388676
Sum	217475.39
Variance	88.513364
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
80.70243902	4	0.1%
82.20487805	3	0.1%
79.43902439	3	0.1%
80.74634146	3	0.1%
81.9	3	0.1%
75.4	3	0.1%
71.249	3	0.1%
75.376	3	0.1%
78.53902439	3	0.1%
74.904	3	0.1%
Other values (2956)	3087	93.4%
(Missing)	188	5.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
40.369	1	< 0.1%
41.376	1	< 0.1%
42.419	1	< 0.1%
42.518	1	< 0.1%
42.595	1	< 0.1%
42.658	1	< 0.1%
42.731	1	< 0.1%
42.733	1	< 0.1%
42.854	1	< 0.1%
43.065	1	< 0.1%

Value	Count	Frequency (%)
84.35634146	1	< 0.1%
84.21097561	1	< 0.1%
84.0997561	1	< 0.1%
83.98487805	1	< 0.1%
83.90487805	1	< 0.1%
83.83170732	1	< 0.1%
83.79390244	1	< 0.1%
83.75365854	1	< 0.1%
83.60243902	1	< 0.1%
83.59512195	1	< 0.1%

Prevelance of Undernourishment
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	399
Distinct (%)	15.2%
Missing	684
Missing (%)	20.7%
Infinite	0
Infinite (%)	0.0%
Mean	10.663654

Minimum	2.5
Maximum	70.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	2.5
5-th percentile	2.5
Q1	2.5
median	6.2
Q3	14.775
95-th percentile	34.7
Maximum	70.9
Range	68.4
Interquartile range (IQR)	12.275

Descriptive statistics

Standard deviation	11.285897
Coefficient of variation (CV)	1.0583518
Kurtosis	5.4575976
Mean	10.663654
Median Absolute Deviation (MAD)	3.7
Skewness	2.1176294
Sum	27960.1
Variance	127.37147
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.5	796	24.1%
3.7	27	0.8%
3.4	22	0.7%
3.2	19	0.6%
5	19	0.6%
3.1	19	0.6%
4.3	19	0.6%
8.8	18	0.5%
4.4	18	0.5%
7.1	17	0.5%
Other values (389)	1648	49.8%
(Missing)	684	20.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.5	796	24.1%
2.6	14	0.4%
2.7	8	0.2%
2.8	16	0.5%
2.9	7	0.2%
3	13	0.4%
3.1	19	0.6%
3.2	19	0.6%
3.3	15	0.5%
3.4	22	0.7%

Value	Count	Frequency (%)
70.9	3	0.1%
70.8	2	0.1%
70.7	1	< 0.1%
70.6	2	0.1%
70.5	1	< 0.1%
70.4	1	< 0.1%
68.7	1	< 0.1%
67.5	1	< 0.1%
65.9	1	< 0.1%
63.2	1	< 0.1%

CO2
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	2259
Distinct (%)	71.6%
Missing	152
Missing (%)	4.6%
Infinite	0
Infinite (%)	0.0%
Mean	157492.41

Minimum	9.9999998
Maximum	10707220
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	9.9999998
5-th percentile	170
Q1	2002.5
median	10205
Q3	58772.499
95-th percentile	459432.99
Maximum	10707220
Range	10707210
Interquartile range (IQR)	56769.999

Descriptive statistics

Standard deviation	772641.53
Coefficient of variation (CV)	4.9058969
Kurtosis	99.754265
Mean	157492.41
Median Absolute Deviation (MAD)	9904.9999
Skewness	9.4378155
Sum	4.9673107 × 10⁸
Variance	5.9697494 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
180.0000072	18	0.5%
9.999999776	18	0.5%
170.0000018	15	0.5%
140.0000006	15	0.5%
250	13	0.4%
119.9999973	12	0.4%
70.0000003	12	0.4%
59.99999866	12	0.4%
209.9999934	11	0.3%
129.9999952	11	0.3%
Other values (2249)	3017	91.3%
(Missing)	152	4.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
9.999999776	18	0.5%
10	1	< 0.1%
30	1	< 0.1%
39.99999911	8	0.2%
50	1	< 0.1%
50.00000075	6	0.2%
59.99999866	12	0.4%
70.0000003	12	0.4%
79.99999821	5	0.2%
80	1	< 0.1%

Value	Count	Frequency (%)
10707219.73	1	< 0.1%
10502929.69	1	< 0.1%
10096009.77	1	< 0.1%
10006669.92	1	< 0.1%
9984570.312	1	< 0.1%
9874660.156	1	< 0.1%
9861099.609	1	< 0.1%
9541870.117	1	< 0.1%
9282549.805	1	< 0.1%
8474919.922	1	< 0.1%

Health Expenditure %
Real number (ℝ)

Distinct	3126
Distinct (%)	100.0%
Missing	180
Missing (%)	5.4%
Infinite	0
Infinite (%)	0.0%
Mean	6.3640591

Minimum	1.263576
Maximum	24.23068
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	1.263576
5-th percentile	2.6505123
Q1	4.2054429
median	5.8923523
Q3	8.1191659
95-th percentile	10.831115
Maximum	24.23068
Range	22.967104
Interquartile range (IQR)	3.913723

Descriptive statistics

Standard deviation	2.8428437
Coefficient of variation (CV)	0.44670291
Kurtosis	2.9480836
Mean	6.3640591
Median Absolute Deviation (MAD)	1.9330953
Skewness	1.1574056
Sum	19894.049
Variance	8.0817604
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4.38575172	1	< 0.1%
3.42069316	1	< 0.1%
7.6386919	1	< 0.1%
10.5835619	1	< 0.1%
8.92953396	1	< 0.1%
4.63011789	1	< 0.1%
9.4396801	1	< 0.1%
9.3601923	1	< 0.1%
2.79134297	1	< 0.1%
2.6028018	1	< 0.1%
Other values (3116)	3116	94.3%
(Missing)	180	5.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1.26357603	1	< 0.1%
1.49993956	1	< 0.1%
1.51855373	1	< 0.1%
1.5251174	1	< 0.1%
1.55349779	1	< 0.1%
1.57114804	1	< 0.1%
1.59628761	1	< 0.1%
1.59996212	1	< 0.1%
1.62753129	1	< 0.1%
1.63775349	1	< 0.1%

Value	Count	Frequency (%)
24.23068047	1	< 0.1%
23.96181297	1	< 0.1%
23.0041008	1	< 0.1%
22.0241642	1	< 0.1%
21.95516396	1	< 0.1%
20.413414	1	< 0.1%
19.72741699	1	< 0.1%
19.18874931	1	< 0.1%
19.03600502	1	< 0.1%
18.60474205	1	< 0.1%

Education Expenditure %
Real number (ℝ)

Distinct	2192
Distinct (%)	98.9%
Missing	1090
Missing (%)	33.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.5890142

Minimum	0.85031998
Maximum	23.27
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	0.85031998
5-th percentile	1.9658526
Q1	3.1361175
median	4.371465
Q3	5.5198251
95-th percentile	7.9137701
Maximum	23.27
Range	22.41968
Interquartile range (IQR)	2.3837076

Descriptive statistics

Standard deviation	2.1191647
Coefficient of variation (CV)	0.46179083
Kurtosis	9.3075312
Mean	4.5890142
Median Absolute Deviation (MAD)	1.1923649
Skewness	2.024186
Sum	10169.256
Variance	4.4908591
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.299999952	3	0.1%
2.099999905	3	0.1%
3.75	3	0.1%
3.5	3	0.1%
3.109630108	2	0.1%
3.517210007	2	0.1%
3.569999933	2	0.1%
4.508979797	2	0.1%
2.25999999	2	0.1%
3.799999952	2	0.1%
Other values (2182)	2192	66.3%
(Missing)	1090	33.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.8503199816	1	< 0.1%
0.8999999762	1	< 0.1%
0.962890029	1	< 0.1%
1.021950006	1	< 0.1%
1.024500012	1	< 0.1%
1.099720001	1	< 0.1%
1.107920051	1	< 0.1%
1.117609978	1	< 0.1%
1.152660012	1	< 0.1%
1.164250016	1	< 0.1%

Value	Count	Frequency (%)
23.27000046	1	< 0.1%
20.59000015	1	< 0.1%
19.70999908	1	< 0.1%
17.62999916	1	< 0.1%
17.55999947	1	< 0.1%
15.98999977	1	< 0.1%
15.75	1	< 0.1%
15.67000008	1	< 0.1%
15.59000015	1	< 0.1%
15.27999973	1	< 0.1%

Unemployment
Real number (ℝ)

Distinct	2151
Distinct (%)	71.7%
Missing	304
Missing (%)	9.2%
Infinite	0
Infinite (%)	0.0%
Mean	7.8907605

Minimum	0.1
Maximum	37.25
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	0.1
5-th percentile	1.1313
Q1	3.733
median	5.9200001
Q3	10.0975
95-th percentile	20.907949
Maximum	37.25
Range	37.15
Interquartile range (IQR)	6.3645003

Descriptive statistics

Standard deviation	6.2708319
Coefficient of variation (CV)	0.79470564
Kurtosis	2.7825099
Mean	7.8907605
Median Absolute Deviation (MAD)	2.79
Skewness	1.6275363
Sum	23688.063
Variance	39.323332
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
4	12	0.4%
3.099999905	8	0.2%
5	7	0.2%
5.650000095	7	0.2%
4.800000191	6	0.2%
5.380000114	6	0.2%
7.21999979	6	0.2%
6.809999943	6	0.2%
5.300000191	6	0.2%
4.900000095	6	0.2%
Other values (2141)	2932	88.7%
(Missing)	304	9.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.1000000015	1	< 0.1%
0.1099999994	1	< 0.1%
0.1400000006	2	0.1%
0.1430000067	1	< 0.1%
0.1469999999	1	< 0.1%
0.150000006	1	< 0.1%
0.1700000018	1	< 0.1%
0.200000003	1	< 0.1%
0.25	1	< 0.1%
0.2800000012	1	< 0.1%

Value	Count	Frequency (%)
37.25	1	< 0.1%
37.15999985	1	< 0.1%
36.68999863	1	< 0.1%
36.02999878	1	< 0.1%
34.93000031	1	< 0.1%
34.63499832	1	< 0.1%
33.86000061	1	< 0.1%
33.75999832	1	< 0.1%
33.29000092	1	< 0.1%
32.95500183	1	< 0.1%

Corruption
Real number (ℝ)

Distinct	8
Distinct (%)	0.8%
Missing	2331
Missing (%)	70.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.8605128

Minimum	1
Maximum	4.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2.5
median	3
Q3	3.25
95-th percentile	4
Maximum	4.5
Range	3.5
Interquartile range (IQR)	0.75

Descriptive statistics

Standard deviation	0.6213433
Coefficient of variation (CV)	0.21721395
Kurtosis	0.0076012034
Mean	2.8605128
Median Absolute Deviation (MAD)	0.5
Skewness	-0.070765155
Sum	2789
Variance	0.3860675
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
3	330	10.0%
2.5	251	7.6%
3.5	176	5.3%
2	109	3.3%
4	57	1.7%
1.5	38	1.1%
4.5	11	0.3%
1	3	0.1%
(Missing)	2331	70.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	3	0.1%
1.5	38	1.1%
2	109	3.3%
2.5	251	7.6%
3	330	10.0%
3.5	176	5.3%
4	57	1.7%
4.5	11	0.3%

Value	Count	Frequency (%)
4.5	11	0.3%
4	57	1.7%
3.5	176	5.3%
3	330	10.0%
2.5	251	7.6%
2	109	3.3%
1.5	38	1.1%
1	3	0.1%

Sanitation
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	1941
Distinct (%)	94.3%
Missing	1247
Missing (%)	37.7%
Infinite	0
Infinite (%)	0.0%
Mean	52.738785

Minimum	2.3776471
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	2.3776471
5-th percentile	8.6790876
Q1	24.746007
median	49.317481
Q3	80.278847
95-th percentile	99.194428
Maximum	100
Range	97.622357
Interquartile range (IQR)	55.532841

Descriptive statistics

Standard deviation	30.126762
Coefficient of variation (CV)	0.5712449
Kurtosis	-1.3550764
Mean	52.738785
Median Absolute Deviation (MAD)	27.716031
Skewness	0.071628871
Sum	108589.16
Variance	907.62177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
100	57	1.7%
91.86797469	19	0.6%
70.3715	19	0.6%
71.1	8	0.2%
32.50916088	6	0.2%
74.56568765	5	0.2%
58.78889399	4	0.1%
97.2	3	0.1%
37.28527113	2	0.1%
9.425466024	2	0.1%
Other values (1931)	1934	58.5%
(Missing)	1247	37.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2.377647105	1	< 0.1%
2.627151311	1	< 0.1%
2.876350728	1	< 0.1%
3.118540241	1	< 0.1%
3.355939326	1	< 0.1%
3.588700651	1	< 0.1%
3.631962583	1	< 0.1%
3.818593969	1	< 0.1%
3.831344237	1	< 0.1%
4.004654451	1	< 0.1%

Value	Count	Frequency (%)
100.0000037	1	< 0.1%
100.0000035	1	< 0.1%
100.0000012	2	0.1%
100	57	1.7%
99.99999876	1	< 0.1%
99.99999755	1	< 0.1%
99.99999528	1	< 0.1%
99.99999506	1	< 0.1%
99.67939917	1	< 0.1%
99.6771794	1	< 0.1%

Injuries
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	3306
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1318219.5

Minimum	430.49
Maximum	55636759
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	430.49
5-th percentile	2109.4725
Q1	62456.878
median	245690.96
Q3	846559.12
95-th percentile	3992127.1
Maximum	55636759
Range	55636329
Interquartile range (IQR)	784102.24

Descriptive statistics

Standard deviation	5214067.9
Coefficient of variation (CV)	3.9553869
Kurtosis	74.63591
Mean	1318219.5
Median Absolute Deviation (MAD)	234577.76
Skewness	8.3899316
Sum	4.3580335 × 10⁹
Variance	2.7186504 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2179727.1	1	< 0.1%
859305.23	1	< 0.1%
111887.61	1	< 0.1%
30900.62	1	< 0.1%
405779.44	1	< 0.1%
726646.06	1	< 0.1%
99407.34	1	< 0.1%
670757.77	1	< 0.1%
5253874.49	1	< 0.1%
169392.04	1	< 0.1%
Other values (3296)	3296	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
430.49	1	< 0.1%
432.67	1	< 0.1%
434.47	1	< 0.1%
437.01	1	< 0.1%
439.9	1	< 0.1%
442.4	1	< 0.1%
443.84	1	< 0.1%
445.84	1	< 0.1%
448.91	1	< 0.1%
452.02	1	< 0.1%

Value	Count	Frequency (%)
55636759.3	1	< 0.1%
55112092.7	1	< 0.1%
55078934.61	1	< 0.1%
54648485.34	1	< 0.1%
54420117.23	1	< 0.1%
54362219.04	1	< 0.1%
53914552.02	1	< 0.1%
53868774.94	1	< 0.1%
53697866.83	1	< 0.1%
53563909.73	1	< 0.1%

Communicable
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	3306
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4686288.6

Minimum	330.16
Maximum	2.6856461 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	330.16
5-th percentile	1815.9275
Q1	57764.745
median	314769.35
Q3	2831635.9
95-th percentile	15779722
Maximum	2.6856461 × 10⁸
Range	2.6856428 × 10⁸
Interquartile range (IQR)	2773871.2

Descriptive statistics

Standard deviation	18437269
Coefficient of variation (CV)	3.9343008
Kurtosis	104.88697
Mean	4686288.6
Median Absolute Deviation (MAD)	311551.68
Skewness	9.4121389
Sum	1.549287 × 10¹⁰
Variance	3.3993289 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9689193.7	1	< 0.1%
3538986.78	1	< 0.1%
723629.75	1	< 0.1%
39509.26	1	< 0.1%
5709964.03	1	< 0.1%
1166296.26	1	< 0.1%
555838.2	1	< 0.1%
11370157.59	1	< 0.1%
91427866.22	1	< 0.1%
248085.86	1	< 0.1%
Other values (3296)	3296	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
330.16	1	< 0.1%
330.39	1	< 0.1%
332.94	1	< 0.1%
333.25	1	< 0.1%
335.86	1	< 0.1%
337.54	1	< 0.1%
338.68	1	< 0.1%
340.39	1	< 0.1%
341.41	1	< 0.1%
343.03	1	< 0.1%

Value	Count	Frequency (%)
268564609.8	1	< 0.1%
261766675.1	1	< 0.1%
254933810	1	< 0.1%
249700603.7	1	< 0.1%
245719584.3	1	< 0.1%
239547398.8	1	< 0.1%
233021416.5	1	< 0.1%
226718272.2	1	< 0.1%
217642490.3	1	< 0.1%
210484107.4	1	< 0.1%

NonCommunicable
Real number (ℝ)

HIGH CORRELATION UNIQUE

Distinct	3306
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7392488.1

Minimum	2481.82
Maximum	3.2463781 × 10⁸
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	26.0 KiB

Quantile statistics

Minimum	2481.82
5-th percentile	14592.71
Q1	318475.84
median	1350146.3
Q3	3918468.3
95-th percentile	23797648
Maximum	3.2463781 × 10⁸
Range	3.2463533 × 10⁸
Interquartile range (IQR)	3599992.4

Descriptive statistics

Standard deviation	29326878
Coefficient of variation (CV)	3.9671188
Kurtosis	71.657394
Mean	7392488.1
Median Absolute Deviation (MAD)	1263036.4
Skewness	8.1757934
Sum	2.4439566 × 10¹⁰
Variance	8.600658 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
5795426.38	1	< 0.1%
5031592.92	1	< 0.1%
478194.75	1	< 0.1%
318292.56	1	< 0.1%
2242633.92	1	< 0.1%
4728365.81	1	< 0.1%
338641.31	1	< 0.1%
2667354.98	1	< 0.1%
28118617.51	1	< 0.1%
948464.91	1	< 0.1%
Other values (3296)	3296	99.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2481.82	1	< 0.1%
2485.93	1	< 0.1%
2487.82	1	< 0.1%
2498.8	1	< 0.1%
2502.98	1	< 0.1%
2526.98	1	< 0.1%
2575.11	1	< 0.1%
2618	1	< 0.1%
2653.62	1	< 0.1%
2704.27	1	< 0.1%

Value	Count	Frequency (%)
324637810.5	1	< 0.1%
319066226.4	1	< 0.1%
314747193.3	1	< 0.1%
310204381.1	1	< 0.1%
304811336.4	1	< 0.1%
301933553.1	1	< 0.1%
299286678.6	1	< 0.1%
297330095.4	1	< 0.1%
295761448.8	1	< 0.1%
293019139	1	< 0.1%

year_dt
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	26.0 KiB

1970	3306

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	13224
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1970
2nd row	1970
3rd row	1970
4th row	1970
5th row	1970

Common Values

Value	Count	Frequency (%)
1970	3306	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1970	3306	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	3306	25.0%
9	3306	25.0%
7	3306	25.0%
0	3306	25.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13224	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	3306	25.0%
9	3306	25.0%
7	3306	25.0%
0	3306	25.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	13224	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	3306	25.0%
9	3306	25.0%
7	3306	25.0%
0	3306	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13224	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	3306	25.0%
9	3306	25.0%
7	3306	25.0%
0	3306	25.0%

Auto

Heatmap
Table

	Year	Life Expectancy World Bank	Prevelance of Undernourishment	CO2	Health Expenditure %	Education Expenditure %	Unemployment	Corruption	Sanitation	Injuries	Communicable	NonCommunicable	Region	IncomeGroup
Year	1.000	0.185	-0.133	0.061	0.095	0.031	-0.050	-0.015	0.119	0.004	-0.037	0.045	0.000	0.000
Life Expectancy World Bank	0.185	1.000	-0.780	0.532	0.432	0.307	0.075	0.272	0.715	-0.157	-0.581	0.002	0.400	0.578
Prevelance of Undernourishment	-0.133	-0.780	1.000	-0.502	-0.451	-0.379	-0.185	-0.319	-0.744	0.132	0.534	-0.054	0.278	0.462
CO2	0.061	0.532	-0.502	1.000	0.033	0.070	-0.001	-0.174	0.465	0.632	0.258	0.729	0.295	0.097
Health Expenditure %	0.095	0.432	-0.451	0.033	1.000	0.415	0.279	0.006	0.267	-0.110	-0.267	-0.032	0.279	0.230
Education Expenditure %	0.031	0.307	-0.379	0.070	0.415	1.000	0.168	0.398	0.264	-0.201	-0.331	-0.154	0.140	0.206
Unemployment	-0.050	0.075	-0.185	-0.001	0.279	0.168	1.000	-0.078	-0.008	-0.170	-0.215	-0.138	0.196	0.230
Corruption	-0.015	0.272	-0.319	-0.174	0.006	0.398	-0.078	1.000	0.309	-0.333	-0.305	-0.296	0.250	0.299
Sanitation	0.119	0.715	-0.744	0.465	0.267	0.264	-0.008	0.309	1.000	-0.150	-0.454	-0.027	0.377	0.596
Injuries	0.004	-0.157	0.132	0.632	-0.110	-0.201	-0.170	-0.333	-0.150	1.000	0.865	0.969	0.206	0.103
Communicable	-0.037	-0.581	0.534	0.258	-0.267	-0.331	-0.215	-0.305	-0.454	0.865	1.000	0.788	0.188	0.122
NonCommunicable	0.045	0.002	-0.054	0.729	-0.032	-0.154	-0.138	-0.296	-0.027	0.969	0.788	1.000	0.283	0.125
Region	0.000	0.400	0.278	0.295	0.279	0.140	0.196	0.250	0.377	0.206	0.188	0.283	1.000	0.504
IncomeGroup	0.000	0.578	0.462	0.097	0.230	0.206	0.230	0.299	0.596	0.103	0.122	0.125	0.504	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	Country Name	Country Code	Region	IncomeGroup	Year	Life Expectancy World Bank	Prevelance of Undernourishment	CO2	Health Expenditure %	Education Expenditure %	Unemployment	Corruption	Sanitation	Injuries	Communicable	NonCommunicable	year_dt
0	Afghanistan	AFG	South_Asia	Low_income	2001	56.308000	47.8	730.0	NaN	NaN	10.809000	NaN	NaN	2179727.10	9689193.70	5795426.38	1970
1	Angola	AGO	Sub-Saharan_Africa	Lower_middle_income	2001	47.059000	67.5	15960.0	4.483516	NaN	4.004000	NaN	NaN	1392080.71	11190210.53	2663516.34	1970
2	Albania	ALB	Europe_&_Central_Asia	Upper_middle_income	2001	74.288000	4.9	3230.0	7.139524	3.45870	18.575001	NaN	40.520895	117081.67	140894.78	532324.75	1970
3	Andorra	AND	Europe_&_Central_Asia	High_income	2001	NaN	NaN	520.0	5.865939	NaN	NaN	NaN	21.788660	1697.99	695.56	13636.64	1970
4	United_Arab_Emirates	ARE	Middle_East_&_North_Africa	High_income	2001	74.544000	2.8	97200.0	2.484370	NaN	2.493000	NaN	NaN	144678.14	65271.91	481740.70	1970
5	Argentina	ARG	Latin_America_&_Caribbean	Upper_middle_income	2001	73.755000	3.0	125260.0	8.371798	4.83374	17.320000	NaN	48.053996	1397676.07	1507068.98	8070909.52	1970
6	Armenia	ARM	Europe_&_Central_Asia	Upper_middle_income	2001	71.800000	26.1	3600.0	4.645627	2.46944	10.912000	NaN	46.351896	103371.75	122238.13	767916.19	1970
7	American_Samoa	ASM	East_Asia_&_Pacific	Upper_middle_income	2001	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1683.98	2933.98	10752.13	1970
8	Antigua_and_Barbuda	ATG	Latin_America_&_Caribbean	High_income	2001	74.171000	NaN	350.0	5.435876	NaN	NaN	NaN	NaN	2201.12	3279.72	14289.69	1970
9	Australia	AUS	East_Asia_&_Pacific	High_income	2001	79.634146	2.5	345640.0	7.696229	NaN	6.740000	NaN	58.788894	612233.81	208282.73	4158052.86	1970

	Country Name	Country Code	Region	IncomeGroup	Year	Life Expectancy World Bank	Prevelance of Undernourishment	CO2	Health Expenditure %	Education Expenditure %	Unemployment	Corruption	Sanitation	Injuries	Communicable	NonCommunicable	year_dt
3296	Ukraine	UKR	Europe_&_Central_Asia	Lower_middle_income	2019	71.827317	2.6	1.747300e+05	7.098602	5.44130	8.190000	NaN	71.977338	2677198.11	1279508.70	17610060.43	1970
3297	Uruguay	URY	Latin_America_&_Caribbean	High_income	2019	77.911000	2.5	6.490000e+03	9.347832	4.70326	8.880000	NaN	NaN	130120.49	74036.98	857057.52	1970
3298	United_States	USA	North_America	High_income	2019	78.787805	2.5	4.817720e+06	16.767063	NaN	3.670000	NaN	98.275223	10129022.26	4968922.31	95976524.31	1970
3299	Uzbekistan	UZB	Europe_&_Central_Asia	Lower_middle_income	2019	71.725000	2.5	1.167100e+05	5.617604	7.00186	5.850000	2.5	NaN	1087494.20	1913988.83	7059738.93	1970
3300	Vietnam	VNM	East_Asia_&_Pacific	Lower_middle_income	2019	75.400000	6.2	3.364900e+05	5.249656	4.06197	2.040000	NaN	NaN	3100141.17	3281846.28	19429515.98	1970
3301	Vanuatu	VUT	East_Asia_&_Pacific	Lower_middle_income	2019	70.474000	12.4	2.100000e+02	3.360347	1.77788	1.801000	3.0	NaN	12484.18	26032.56	69213.56	1970
3302	Samoa	WSM	East_Asia_&_Pacific	Lower_middle_income	2019	73.321000	4.4	3.000000e+02	6.363094	4.70625	8.406000	4.0	47.698788	6652.84	9095.19	43798.62	1970
3303	South_Africa	ZAF	Sub-Saharan_Africa	Upper_middle_income	2019	64.131000	6.3	4.396400e+05	9.109355	5.91771	28.469999	NaN	NaN	3174676.10	13198944.71	10214261.89	1970
3304	Zambia	ZMB	Sub-Saharan_Africa	Low_income	2019	63.886000	NaN	6.800000e+03	5.312203	4.46518	12.520000	2.5	NaN	510982.75	4837094.00	2649687.82	1970
3305	Zimbabwe	ZWE	Sub-Saharan_Africa	Lower_middle_income	2019	61.490000	NaN	1.176000e+04	7.703565	NaN	4.833000	2.5	25.963544	644798.93	4187087.31	2364031.48	1970

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations